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The Fractional Fourier Transform: with Applications in Optics and Signal Processing

TLDR
The fractional Fourier transform (FFT) as discussed by the authors has been used in a variety of applications, such as matching filtering, detection, and pattern recognition, as well as signal recovery.
Abstract
Preface. Acknowledgments. Introduction. Signals, Systems, and Transformations. Wigner Distributions and Linear Canonical Transforms. The Fractional Fourier Transform. Time-Order and Space-Order Representations. The Discrete Fractional Fourier Transform. Optical Signals and Systems. Phase-Space Optics. The Fractional Fourier Transform in Optics. Applications of the Fractional Fourier Transform to Filtering, Estimation, and Signal Recovery. Applications of the Fractional Fourier Transform to Matched Filtering, Detection, and Pattern Recognition. Bibliography on the Fractional Fourier Transform. Other Cited Works. Credits. Index.

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Citations
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Journal ArticleDOI

Improved homomorphic filtering using fractional derivatives for enhancement of low contrast and non-uniformly illuminated images

TL;DR: The proposed scheme outperforms the existing state-of-the-art techniques by providing better image visual quality and image information in terms of average PSNR and entropy values.
Journal ArticleDOI

A convolution-based fractional transform

TL;DR: A generalized framework defining a class of fractional transforms based on the convolution algorithm of discrete fractional Fourier transform and gyrator transform is proposed, which can be implemented by an optical 4f system with phase-only filtering easily and can be employed for different computational tasks of information processing.
Journal ArticleDOI

Fractional Fourier, Hartley, Cosine and Sine Number-Theoretic Transforms Based on Matrix Functions

TL;DR: Fractional Fourier, Hartley, cosine and sine number-theoretic transforms are developed and it is shown that fast algorithms applicable to ordinary NTT can also be used to compute the proposed FrNTT.
Proceedings ArticleDOI

Analysis tools for computational imaging systems

TL;DR: The Ambiguity Function (AF), traditionally used for the design of radar waveforms, plays an important role in computational imaging systems and the Wigner Distribution (WD) is related to the AF and provides a concise analysis of the point spread functions (PSF) of imaging systems over defocus.
Book ChapterDOI

Eigenfunctions of the Linear Canonical Transform

TL;DR: In this article, the eigenfunctions and eigenvalues of the linear canonical transform (LCT) are discussed, and the style of the LCT is closely related to the parameters {a, b, c, d} of LCT.
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